from sklearn_benchmarks.reporting.hp_match import HpMatchReporting
reporting = HpMatchReporting(other_library="onnx", config="config.yml", log_scale=True)
reporting.make_report()
We assume here there is a perfect match between the hyperparameters of both librairies. For a given set of parameters and a given dataset, we compute the speedup
time scikit-learn / time onnx. For instance, a speedup of 2 means that onnx is twice as fast as scikit-learn for a given set of parameters and a given dataset.
KNeighborsClassifier_brute_force¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=brute.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | e70d8e7886766d41f30889506baa1e67 | 2cf49829391aa7891e877f2ed070adf0 | 2.299420 | 0.185296 | NaN | ... | brute | -1 | 1 | 0.663 | 0.352257 | 0.017188 | 1.000 | 6.527671 | 6.535437 | 0.337 |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | e70d8e7886766d41f30889506baa1e67 | 2cf49829391aa7891e877f2ed070adf0 | 0.028985 | 0.003397 | NaN | ... | brute | -1 | 1 | 1.000 | 18.966825 | 0.284876 | 0.757 | 0.001528 | 0.001528 | 0.243 |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 22d5eac4a4146149b35eae6914921514 | 2cf49829391aa7891e877f2ed070adf0 | 3.125257 | 0.066843 | NaN | ... | brute | -1 | 5 | 0.757 | 18.798363 | 0.024306 | 0.882 | 0.166252 | 0.166252 | 0.125 |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 16f94fc93942ff7ece860c9b0f64645f | 2cf49829391aa7891e877f2ed070adf0 | 2.444856 | 0.014145 | NaN | ... | brute | 1 | 100 | 0.882 | 0.369740 | 0.017971 | 1.000 | 6.612358 | 6.620164 | 0.118 |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 16f94fc93942ff7ece860c9b0f64645f | 2cf49829391aa7891e877f2ed070adf0 | 0.025754 | 0.001862 | NaN | ... | brute | 1 | 100 | 1.000 | 19.015915 | 0.134237 | 0.757 | 0.001354 | 0.001354 | 0.243 |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2d5f2b2c02d77766434d9e5033b4a76c | 2cf49829391aa7891e877f2ed070adf0 | 3.145997 | 0.066497 | NaN | ... | brute | -1 | 100 | 0.882 | 18.845010 | 0.012034 | 0.663 | 0.166941 | 0.166941 | 0.219 |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | efac583623711d395ddae7a1e881ff68 | 2cf49829391aa7891e877f2ed070adf0 | 2.457043 | 0.038789 | NaN | ... | brute | 1 | 5 | 0.757 | 0.273782 | 0.009487 | 1.000 | 8.974445 | 8.979832 | 0.243 |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | efac583623711d395ddae7a1e881ff68 | 2cf49829391aa7891e877f2ed070adf0 | 0.024767 | 0.001209 | NaN | ... | brute | 1 | 5 | 1.000 | 4.301663 | 0.033928 | 0.922 | 0.005758 | 0.005758 | 0.078 |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | b79d63bb7670c492de5c3befac58fe29 | 2cf49829391aa7891e877f2ed070adf0 | 1.616419 | 0.026886 | NaN | ... | brute | 1 | 1 | 0.663 | 4.378157 | 0.031494 | 0.929 | 0.369201 | 0.369210 | 0.266 |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | e70d8e7886766d41f30889506baa1e67 | 88843f54689e3271092f70126e1de585 | 1.822141 | 0.023534 | NaN | ... | brute | -1 | 1 | 0.896 | 0.276001 | 0.013155 | 1.000 | 6.601936 | 6.609430 | 0.104 |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | e70d8e7886766d41f30889506baa1e67 | 88843f54689e3271092f70126e1de585 | 0.006277 | 0.004084 | NaN | ... | brute | -1 | 1 | 1.000 | 4.286233 | 0.049342 | 0.922 | 0.001464 | 0.001464 | 0.078 |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 22d5eac4a4146149b35eae6914921514 | 88843f54689e3271092f70126e1de585 | 2.731999 | 0.022395 | NaN | ... | brute | -1 | 5 | 0.922 | 4.284738 | 0.037053 | 0.896 | 0.637612 | 0.637635 | 0.026 |
12 rows × 22 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.014 | 0.001 | 5.674 | 0.0 | -1 | 1 | 19.262 | 0.220 | 0.663 | 0.001 | 0.001 | See | See |
| 3 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.014 | 0.001 | 5.768 | 0.0 | -1 | 5 | 0.347 | 0.015 | 1.000 | 0.040 | 0.040 | See | See |
| 6 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.014 | 0.001 | 5.912 | 0.0 | 1 | 100 | 19.095 | 0.024 | 0.882 | 0.001 | 0.001 | See | See |
| 9 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.014 | 0.001 | 5.843 | 0.0 | -1 | 100 | 0.356 | 0.012 | 1.000 | 0.038 | 0.038 | See | See |
| 12 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.015 | 0.001 | 5.332 | 0.0 | 1 | 5 | 4.317 | 0.036 | 0.896 | 0.003 | 0.003 | See | See |
| 15 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.014 | 0.001 | 5.761 | 0.0 | 1 | 1 | 0.274 | 0.009 | 1.000 | 0.051 | 0.051 | See | See |
| 18 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.000 | 0.344 | 0.0 | -1 | 1 | 4.384 | 0.039 | 0.929 | 0.001 | 0.001 | See | See |
| 21 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.000 | 0.310 | 0.0 | -1 | 5 | 0.287 | 0.013 | 1.000 | 0.018 | 0.018 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.299 | 0.185 | 0.0 | 0.002 | -1 | 1 | 0.352 | 0.017 | 1.000 | 6.528 | 6.535 | See | See |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.029 | 0.003 | 0.0 | 0.029 | -1 | 1 | 18.967 | 0.285 | 0.757 | 0.002 | 0.002 | See | See |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 3.125 | 0.067 | 0.0 | 0.003 | -1 | 5 | 18.798 | 0.024 | 0.882 | 0.166 | 0.166 | See | See |
| 5 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.030 | 0.004 | 0.0 | 0.030 | -1 | 5 | 0.377 | 0.008 | 1.000 | 0.081 | 0.081 | See | See |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.445 | 0.014 | 0.0 | 0.002 | 1 | 100 | 0.370 | 0.018 | 1.000 | 6.612 | 6.620 | See | See |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.026 | 0.002 | 0.0 | 0.026 | 1 | 100 | 19.016 | 0.134 | 0.757 | 0.001 | 0.001 | See | See |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 3.146 | 0.066 | 0.0 | 0.003 | -1 | 100 | 18.845 | 0.012 | 0.663 | 0.167 | 0.167 | See | See |
| 11 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.033 | 0.004 | 0.0 | 0.033 | -1 | 100 | 0.375 | 0.016 | 1.000 | 0.087 | 0.087 | See | See |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.457 | 0.039 | 0.0 | 0.002 | 1 | 5 | 0.274 | 0.009 | 1.000 | 8.974 | 8.980 | See | See |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.025 | 0.001 | 0.0 | 0.025 | 1 | 5 | 4.302 | 0.034 | 0.922 | 0.006 | 0.006 | See | See |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.616 | 0.027 | 0.0 | 0.002 | 1 | 1 | 4.378 | 0.031 | 0.929 | 0.369 | 0.369 | See | See |
| 17 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.024 | 0.001 | 0.0 | 0.024 | 1 | 1 | 0.294 | 0.011 | 1.000 | 0.083 | 0.083 | See | See |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.822 | 0.024 | 0.0 | 0.002 | -1 | 1 | 0.276 | 0.013 | 1.000 | 6.602 | 6.609 | See | See |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.006 | 0.004 | 0.0 | 0.006 | -1 | 1 | 4.286 | 0.049 | 0.922 | 0.001 | 0.001 | See | See |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.732 | 0.022 | 0.0 | 0.003 | -1 | 5 | 4.285 | 0.037 | 0.896 | 0.638 | 0.638 | See | See |
| 23 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.010 | 0.003 | 0.0 | 0.010 | -1 | 5 | 0.272 | 0.012 | 1.000 | 0.038 | 0.038 | See | See |
KNeighborsClassifier_kd_tree¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=kd_tree.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | fe8267e25dadb302ed498e50fabf7ef4 | 1eb6cf1a720a225efb91df0b529b0510 | 0.877259 | 1.077265 | NaN | ... | kd_tree | -1 | 1 | 0.929 | 3.054793 | 0.258000 | 1.000 | 0.287175 | 0.288197 | 0.071 |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | fe8267e25dadb302ed498e50fabf7ef4 | 1eb6cf1a720a225efb91df0b529b0510 | 0.003201 | 0.000538 | NaN | ... | kd_tree | -1 | 1 | 1.000 | 131.140779 | 0.000000 | 0.946 | 0.000024 | 0.000024 | 0.054 |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | dc74b969bf622bc24ba3bc62c980983b | 1eb6cf1a720a225efb91df0b529b0510 | 1.134279 | 0.412869 | NaN | ... | kd_tree | -1 | 5 | 0.946 | 136.291202 | 0.000000 | 0.951 | 0.008322 | 0.008322 | 0.005 |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 41accfcdcd5c50784bedf6164b63de99 | 1eb6cf1a720a225efb91df0b529b0510 | 6.121749 | 0.632406 | NaN | ... | kd_tree | 1 | 100 | 0.951 | 3.170403 | 0.191043 | 1.000 | 1.930906 | 1.934408 | 0.049 |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 41accfcdcd5c50784bedf6164b63de99 | 1eb6cf1a720a225efb91df0b529b0510 | 0.003393 | 0.000785 | NaN | ... | kd_tree | 1 | 100 | 1.000 | 131.942419 | 0.000000 | 0.946 | 0.000026 | 0.000026 | 0.054 |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 022f7445d43bb1dbc24dc3106c03cb93 | 1eb6cf1a720a225efb91df0b529b0510 | 3.530933 | 0.233538 | NaN | ... | kd_tree | -1 | 100 | 0.951 | 131.171652 | 0.000000 | 0.929 | 0.026918 | 0.026918 | 0.022 |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 84622ba45e941db642965553529e1941 | 1eb6cf1a720a225efb91df0b529b0510 | 1.854643 | 0.395971 | NaN | ... | kd_tree | 1 | 5 | 0.946 | 0.006323 | 0.000232 | 1.000 | 293.331897 | 293.528647 | 0.054 |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 84622ba45e941db642965553529e1941 | 1eb6cf1a720a225efb91df0b529b0510 | 0.001793 | 0.000347 | NaN | ... | kd_tree | 1 | 5 | 1.000 | 0.045270 | 0.001970 | 0.911 | 0.039599 | 0.039636 | 0.089 |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | a9455565db1d8e052a783317c99744ff | 1eb6cf1a720a225efb91df0b529b0510 | 1.013470 | 0.380790 | NaN | ... | kd_tree | 1 | 1 | 0.929 | 0.070244 | 0.003254 | 0.894 | 14.427824 | 14.443297 | 0.035 |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | fe8267e25dadb302ed498e50fabf7ef4 | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.033248 | 0.013085 | NaN | ... | kd_tree | -1 | 1 | 0.891 | 0.005929 | 0.000291 | 1.000 | 5.607367 | 5.614095 | 0.109 |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | fe8267e25dadb302ed498e50fabf7ef4 | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.003427 | 0.000615 | NaN | ... | kd_tree | -1 | 1 | 1.000 | 0.046870 | 0.002363 | 0.911 | 0.073116 | 0.073209 | 0.089 |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | dc74b969bf622bc24ba3bc62c980983b | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.030908 | 0.001397 | NaN | ... | kd_tree | -1 | 5 | 0.911 | 0.045419 | 0.001583 | 0.891 | 0.680506 | 0.680919 | 0.020 |
12 rows × 22 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 2.898 | 0.065 | 0.028 | 0.0 | -1 | 1 | 129.797 | 0.000 | 0.929 | 0.022 | 0.022 | See | See |
| 3 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.877 | 0.053 | 0.021 | 0.0 | -1 | 5 | 3.151 | 0.251 | 1.000 | 1.231 | 1.235 | See | See |
| 6 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.987 | 0.078 | 0.020 | 0.0 | 1 | 100 | 133.368 | 0.000 | 0.951 | 0.030 | 0.030 | See | See |
| 9 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.967 | 0.107 | 0.020 | 0.0 | -1 | 100 | 3.148 | 0.175 | 1.000 | 1.260 | 1.262 | See | See |
| 12 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 4.004 | 0.054 | 0.020 | 0.0 | 1 | 5 | 0.048 | 0.002 | 0.891 | 83.525 | 83.585 | See | See |
| 15 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.958 | 0.068 | 0.020 | 0.0 | 1 | 1 | 0.007 | 0.000 | 1.000 | 600.951 | 601.836 | See | See |
| 18 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.001 | 0.019 | 0.0 | -1 | 1 | 0.073 | 0.003 | 0.894 | 0.012 | 0.012 | See | See |
| 21 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.020 | 0.0 | -1 | 5 | 0.006 | 0.000 | 1.000 | 0.136 | 0.136 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.877 | 1.077 | 0.000 | 0.001 | -1 | 1 | 3.055 | 0.258 | 1.000 | 0.287 | 0.288 | See | See |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | -1 | 1 | 131.141 | 0.000 | 0.946 | 0.000 | 0.000 | See | See |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.134 | 0.413 | 0.000 | 0.001 | -1 | 5 | 136.291 | 0.000 | 0.951 | 0.008 | 0.008 | See | See |
| 5 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.004 | 0.001 | 0.000 | 0.004 | -1 | 5 | 3.237 | 0.203 | 1.000 | 0.001 | 0.001 | See | See |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 6.122 | 0.632 | 0.000 | 0.006 | 1 | 100 | 3.170 | 0.191 | 1.000 | 1.931 | 1.934 | See | See |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | 1 | 100 | 131.942 | 0.000 | 0.946 | 0.000 | 0.000 | See | See |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 3.531 | 0.234 | 0.000 | 0.004 | -1 | 100 | 131.172 | 0.000 | 0.929 | 0.027 | 0.027 | See | See |
| 11 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.005 | 0.001 | 0.000 | 0.005 | -1 | 100 | 3.223 | 0.226 | 1.000 | 0.002 | 0.002 | See | See |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.855 | 0.396 | 0.000 | 0.002 | 1 | 5 | 0.006 | 0.000 | 1.000 | 293.332 | 293.529 | See | See |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.002 | 0.000 | 0.000 | 0.002 | 1 | 5 | 0.045 | 0.002 | 0.911 | 0.040 | 0.040 | See | See |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.013 | 0.381 | 0.000 | 0.001 | 1 | 1 | 0.070 | 0.003 | 0.894 | 14.428 | 14.443 | See | See |
| 17 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 1 | 0.006 | 0.000 | 1.000 | 0.172 | 0.172 | See | See |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.033 | 0.013 | 0.000 | 0.000 | -1 | 1 | 0.006 | 0.000 | 1.000 | 5.607 | 5.614 | See | See |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.003 | 0.001 | 0.000 | 0.003 | -1 | 1 | 0.047 | 0.002 | 0.911 | 0.073 | 0.073 | See | See |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.031 | 0.001 | 0.001 | 0.000 | -1 | 5 | 0.045 | 0.002 | 0.891 | 0.681 | 0.681 | See | See |
| 23 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.003 | 0.000 | 0.000 | 0.003 | -1 | 5 | 0.006 | 0.001 | 1.000 | 0.424 | 0.427 | See | See |
HistGradientBoostingClassifier_best¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: learning_rate=0.01, n_iter_no_change=10.0, max_leaf_nodes=100.0, max_bins=255.0, min_samples_leaf=100.0, max_iter=300.0.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | max_leaf_nodes | min_samples_leaf | n_iter_no_change | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | HistGradientBoostingClassifier_best | predict | 100000 | 1000 | 100 | 25b9f14bed7dd5d830c6ccd4dfebbf0c | 8c8fffa8ec4b2d8de833421f9e32beab | 0.18818 | 0.009651 | 300 | ... | 100 | 100 | 10 | 0.824 | 0.52256 | 0.026759 | 1.0 | 0.360111 | 0.360583 | 0.176 |
1 rows × 25 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | HistGradientBoostingClassifier_best | fit | 100000 | 100000 | 100 | 124.918 | 0.0 | 300 | 0.001 | 0.001 | 0.629 | 0.046 | 0.824 | 198.583 | 199.108 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | HistGradientBoostingClassifier_best | predict | 100000 | 1000 | 100 | 0.188 | 0.01 | 300 | 0.004 | 0.0 | 0.523 | 0.027 | 1.0 | 0.36 | 0.361 | See | See |